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Deploy pipelines to local kubernetes

Aidge's CUDA backend, written in C++/CUDA and using NVidia's CuDNN and CuBLAS libraries. Required for training and inference on NVidia's GPUs

Oniro Project Documentation

Graph viewer for Aidge based on Model Explorer

Implementation of Matrix backend server - Synapse hosted at Eclipse and accessible at https://matrix.eclipse.org

Aidge's core module, written in C++, always required

Aidge's OpenCV backend, written in C++, for image data loading and some CV operators implementation

Aidge's core module, written in C++, always required

Aidge export to ASYGN Colibry NPU

Implement a benchmark for export_arm_cortexm.

It should automatically generate the board files, flash the target device, and read the execution result from the board via serial communication

The idea of the kubernetes-deployer is to provide downloaded and one-click-deployments for ai-runner in one modernized and streamlined service and thus replace playground-deployer and kubernetes-client

TTV